作者: Stephen Freeland
DOI: 10.1007/978-1-4419-8983-3_19
关键词: Cognitive science 、 Mainstream 、 Genetic algorithm 、 Biological evolution 、 Evolutionary theory 、 Research findings 、 Masking (illustration) 、 Evolutionary computation
摘要: Evolutionary computing began by lifting ideas from biological evolutionary theory into computer science, and continues to look toward new research findings for inspiration. However, an over enthusiastic ‘biology envy’ can only be the detriment of both disciplines masking broader potential two-way intellectual traffic shared insights analogizing one another. Three fundamental features evolution illustrate range flow between two communities: particulate genes carry some subtle consequences that have not yet translated mainstream EC; adaptive properties genetic code how communities contribute a common understanding appropriate abstractions; finally, EC exploration representational language seems pre-adapted help biologists understand why life evolved dichotomy genotype phenotype.